Description

You will provide technical leadership across AI architecture, model integration, and delivery.

Responsibilities

• Architect end-to-end AI pipelines using Databricks (Delta, Unity Catalog, MLflow, Model Serving).
• Integrate GenAI platforms (Mosaic AI, Genie, Azure OpenAI) and orchestrate them via an MCP server for NL→SQL and conversational intelligence.
• Implement governed, cost-optimized MLOps pipelines with retraining, lineage, and observability.
• Build multi-agent architectures combining text, tabular, and image models.
• Enforce role-based security and governance through Unity Catalog.

Required Skills

• 8+ years in AI/ML or Data Science.
• 3+ years experience on Databricks Platform (SQL Warehouse, Unity Catalog, MLflow, Model Serving, OCR).
• Proven experience with LLM-driven architectures (RAG, NL→SQL).
• Proficiency in Spark, Python, Delta Lake, and REST APIs.
• Experience with GenAI Tools: Mosaic AI, Genie, Azure OpenAI, LangChain, Vector Search, MCP Server.
• Knowledge of ML Techniques including Isolation Forest, PSI/KSI drift detection, and model retraining.
• Familiarity with Vision Models (ViT, Grad-CAM, explainability methods).
• Experience enforcing RBAC, lineage, masking, and compliance policies.
• Strong skills in Architecture design and stakeholder alignment.

Key Skills

Education

Any Gradute